18 résultats avec le mot-clé: 'bayesian neural network priors level units'
The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.. L’archive ouverte pluridisciplinaire HAL, est
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Bayesian machine learning refers to extending standard machine learning approaches with posterior inference, a line of research pioneered by the works Neal (1992); MacKay (1992)
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Then a unit of `-th hidden layer has sub-Weibull distribution with optimal tail parameter θ = `/2, where ` is the number of convolutional and fully-connected
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We investigate deep Bayesian neural networks with Gaussian priors on the weights and ReLU-like nonlinearities, shedding light on novel distribution properties at the level of the
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L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des
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We investigate deep Bayesian neural net- works with Gaussian priors on the weights and ReLU-like nonlinearities, shedding light on novel sparsity-inducing mechanisms at the level of
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Functional Priors for Bayesian Neural Networks through Wasserstein Distance Minimization to Gaussian Processes.. Ba-Hien
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This sub-Weibull property defined in [S5] is then used in [A4], [P 5], [P6] for characterizing the prior distribution of neural network units with Gaussian weight priors and
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La Banque centrale a par ailleurs annoncé une simplification du cadre opérationnel de la politique monétaire : les opérations de repo à une semaine redeviendront le principal outil
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Le Master Droit de la propriété intellectuelle propose trois parcours: Droit de la propriété intellectuelle, Droit de la recherche et valorisation de l'innovation
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The first methodology is a competitive neural network (CNN), whereas the second one is based on learning vector quantisation neural network (LVQNN).. Furthermore, Bayesian
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The first methodology is a competitive neural network (CNN), whereas the second one is based on learning vector quantisation neural network (LVQNN).. Furthermore, Bayesian
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weak neural network with one hidden layer composed of 2 units (2-NN) and a stronger learner consisting of a neural network with 500 units in its unique hid- den layer (500-NN).
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Rosita Fibbi, cheffe de projet, Forum suisse pour l’étude des migrations et de la population (SFM), Université de Neuchâtel. Etienne Piguet, professeur, Institut
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In order to allow LAN links used to connect only two routers to be treated as unnumbered point-to-point interfaces, the MAC address resolution and nexthop IP address issues
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We have also experimented with neural network based sequential classifiers, where we utilized word level features as inputs to the LSTM [3] layer (64 units) followed by Embedding
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Water Production Surveillance Workflow using Neural Network and Bayesian Network Technology: A Case Study of Bongkot North Field, Thailand, International Petroleum
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Abbreviations: ML, Machine Learning; ANN, Artificial Neural Network; DT, Decisional Tree; SVM, Support Vector Machine; BN, Bayesian Network; NTCP, Normal Tissue
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